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Experiments in social data mining
2003
ACM Transactions on Computer-Human Interaction
Social data mining systems enable people to share opinions and benefit from each other's experience. They do this by mining and redistributing information from computational records of social activity such as Usenet messages, system usage history, citations, or hyperlinks. Two general questions for evaluating such systems are: (1) is the extracted information valuable?, and (2) do interfaces based on the information improve user task performance? We report here on TopicShop, a system that mines
doi:10.1145/606658.606661
fatcat:bb66a5ppyjffhfriykeuvgoxhi